socratic-nexus 0.3.2

Universal LLM client for production - works with Claude, GPT-4, Gemini, Llama, and any LLM. Built-in integrations with Openclaw and LangChain.

Socratic Nexus (socrates-nexus)

Universal LLM abstraction layer providing unified access to multiple AI providers

Overview

socrates-nexus is a specialized component of the Socratic ecosystem that provides comprehensive functionality for universal llm abstraction layer providing unified access to multiple ai providers. It offers a production-ready, well-tested solution for integrating into larger Socratic systems.

Key Features

• Multi-provider support
• Unified client interface
• Async/sync API support
• Model standardization

Installation

Prerequisites

• Python 3.8+
• pip or poetry package manager

Via pip

pip install socrates-nexus

Via poetry

poetry add socrates-nexus

From source

git clone https://github.com/socratic-ai/socrates-nexus.git
cd socrates-nexus
pip install -e .

Quick Start

Basic Usage

from socrates_nexus import Client

# Initialize the component
client = Client()

# Perform basic operation
result = client.process()
print(result)

Configuration

from socrates_nexus import Client

# Configure with custom settings
client = Client(
    api_key="your-api-key",
    model="claude-3-5-haiku",
    timeout=30
)

# Use the client
response = client.query("What is the essence of learning?")

Core Components

• Client: Main interface for interacting
• Providers: Provider-specific implementations
• Models: Model definitions and configurations
• Async Client: Asynchronous version
• Exceptions: Custom error handling

Architecture Overview

socrates-nexus follows a modular, layered architecture:

• Client Layer: Public API for external consumers
• Processing Layer: Core business logic and algorithms
• Integration Layer: Connections to external services and APIs
• Data Layer: State management and data persistence

Integration with Socratic Ecosystem

socrates-nexus integrates seamlessly with:

• socrates-nexus: Unified LLM provider interface
• socratic-rag: Knowledge retrieval and augmentation
• socratic-core: Common utilities and base classes
• Other ecosystem components: As needed for specific use cases

Dependencies

- anthropic
- openai
- google-generativeai
- langchain

Performance Considerations

• Caching: Intelligent caching for frequently accessed data
• Async Support: Full async/await support for non-blocking I/O
• Scalability: Designed for high-concurrency scenarios
• Resource Efficiency: Optimized memory and CPU usage

Error Handling

The library provides comprehensive error handling:

from socrates_nexus import Client, Error

try:
    client = Client()
    result = client.process()
except Error as e:
    print(f"Error: {e}")

Testing

Run the test suite:

pytest tests/

With coverage reporting:

pytest --cov=socrates_nexus tests/

API Reference

For complete API documentation, see ARCHITECTURE.md

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

Support & Resources

• GitHub Issues: https://github.com/socratic-ai/socrates-nexus/issues
• Documentation: https://socratic-docs.readthedocs.io/socrates-nexus
• Discussions: https://github.com/socratic-ai/socrates-nexus/discussions

License

MIT License - See LICENSE file for details

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Part of the Socratic Ecosystem